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Clustering

3615 directly classified papers

Papers per year

Papers

Discriminative K-means for Clustering NIPS 2007
Spatial Latent Dirichlet Allocation NIPS 2007
Consistent Minimization of Clustering Objective Functions NIPS 2007
Infinite State Bayes-Nets for Structured Domains NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Nearest-Neighbor-Based Active Learning for Rare Category Detection NIPS 2007
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007
A Unified Continuous Optimization Framework for Center-Based Clustering Methods JMLR 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
A Nonparametric Statistical Approach to Clustering via Mode Identification JMLR 2007
Clustering Under Prior Knowledge with Application to Image Segmentation NIPS 2006
Differential Entropic Clustering of Multivariate Gaussians NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm NIPS 2006
Fundamental Limitations of Spectral Clustering NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach NIPS 2006
Online Clustering of Moving Hyperplanes NIPS 2006
Learning with Hypergraphs: Clustering, Classification, and Embedding NIPS 2006
Clustering appearance and shape by learning jigsaws NIPS 2006
Fast Discriminative Visual Codebooks using Randomized Clustering Forests NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NIPS 2006